PostgreSQL Consulting
Architecture review, operational health checks, technical decisions, and prioritised roadmaps.
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Learn MoreSchedule AuditIn short: This PostgreSQL services hub helps teams choose between architecture consulting, performance tuning, migration, high availability, incident support, remote DBA, security, Kubernetes, and cloud-platform work. Each specialist page explains the problem it owns, the engagement boundary, and the evidence needed before scope, timing, targets, or outcomes are agreed.
Start with the decision or operational problem you need to solve. A scoped discovery step then confirms the workload, constraints, deliverables, ownership, and validation method.
Scoped
Responsibilities
Measured
Validation criteria
Documented
Handover artifacts
PostgreSQL 16 · streaming repl
Patroni leader + 2 replicas
0.00k
99.0%
0ms
2%
[OK] autovacuum: orders processed, 0 bloat detected
[INF] streaming repl: WAL in sync, lag 0ms on node-02
[OK] pg_stat_statements: top query 2.1ms mean
[INF] pg_repack: orders_idx rebuilt with brief lock windows
Representative cluster view · illustrative metrics
Illustrative interface only—not a customer environment or live production telemetry.
PostgreSQL 14 reaches end of life in November 2026. PostgreSQL 13 and earlier are already outside community support; upgrade scope depends on application, extension, and platform compatibility.
Choose one focused path instead of treating every PostgreSQL problem as generic consulting. Related work can be combined after the primary objective and ownership boundaries are clear.
Architecture review, operational health checks, technical decisions, and prioritised roadmaps.
Query-plan, index, configuration, resource, and application analysis against a measured baseline.
Cross-engine conversion and PostgreSQL version upgrades with rehearsed cutover and validation plans.
Contract-defined incident response, escalation, and operational coverage for agreed systems.
Failure-mode analysis, recovery objectives, Patroni architecture, and failover and restore testing.
Continuing PostgreSQL administration, maintenance, capacity planning, and delivery support.
Aurora-specific architecture, compatibility, scaling, resilience, and day-two operations.
RDS Multi-AZ, deployment changes, read replicas, parameter groups, and operational constraints.
Google Cloud SQL availability, replicas, IAM integration, migration, and operational limits.
Azure-specific availability, compute, migration, identity, and operational decisions.
Provider-neutral readiness, target selection, data movement, cutover gates, rollback, and validation.
Operator selection, backup and recovery, upgrades, resilience, and lifecycle trade-offs.
Independent technical control assessment, evidence review, and remediation roadmap.
Commercial terms, timing, service windows, and response targets are confirmed only after scope and operating constraints are understood.
A scoped review that records the current state, evidence, constraints, risks, decisions, and prioritised next steps.
A defined implementation such as tuning, migration, HA, security remediation, or a platform change, scoped after discovery.
Continuing coverage with systems, responsibilities, escalation paths, service windows, targets, and exclusions defined in the agreement.
Not sure which model fits? Share the problem and operating context.
Clear boundaries for choosing the appropriate specialist page and engagement.
Choose consulting for an architecture decision or health check, performance tuning for a measured database slowdown, migration for a version or engine move, high availability for resilience design, support for incident coverage, and remote DBA for continuing operational capacity.
Consulting owns broad architecture assessment, technical decisions, risk prioritisation, and an implementation roadmap. Performance tuning is a focused engagement that investigates query plans, indexes, configuration, resource use, and application behaviour against a measured baseline.
Support provides contract-defined incident and escalation coverage for agreed systems. Remote DBA provides continuing operational capacity for administration, maintenance, planning, and delivery. Coverage, ownership boundaries, response targets, and exclusions are documented before work starts.
JusDB works with community-supported PostgreSQL 14 through 18 and can assess upgrade paths for older releases. Services also cover self-managed deployments, Amazon RDS and Aurora PostgreSQL, Google Cloud SQL, Azure Database for PostgreSQL, and Kubernetes.
Scope follows discovery of the workload, topology, access, security requirements, change controls, and desired deliverables. The written engagement plan then defines responsibilities, timing, validation criteria, response targets where applicable, assumptions, and exclusions.
Share the workload context, current risk, desired decision, and operating constraints. The first step is to identify the right specialist scope—not to promise an outcome before the evidence is reviewed.
Scope first
Access and evidence agreed
Change safe
Validation and rollback defined
Clear handover
Decisions and runbooks recorded
Comprehensive PostgreSQL solutions tailored to your enterprise database needs
Architecture reviews, operational health checks, technical decisions, and prioritised roadmaps
Learn moreContract-defined incident response, escalation, recurring checks, and service reporting
Learn moreEmbedded DBA capacity for recurring administration, backlog delivery, and context handover
Learn moreMigration planning and delivery for Oracle, MySQL, SQL Server, and PostgreSQL upgrades
Learn morePatroni, streaming replication, and automated failover architecture
Learn moreQuery analysis, index design, configuration review, and workload investigation
Learn moreAWS RDS, Aurora, GCP, and Azure migration planning and architecture review
Learn moreKubernetes deployment design using PostgreSQL operators and StatefulSets
Learn morePostgreSQL-native time-series architecture for telemetry, metrics, and analytical workloads
Learn moreJusDB reviews technology-specific claims against the vendor or project's official documentation. Performance examples without a linked case study are labeled illustrative; actual results depend on workload, data model, version, topology, infrastructure, and test method.
Technically reviewed by the JusDB Database Reliability Engineering team on .